Summary
This website contacted 8 IPs in 2 countries across 8 domains to perform 11 HTTP transactions. The main domain is beanbouncerblog-e6mojxr7yd.edgeone.app and was registered NaN years ago.
Submitted URL: https://beanbouncerblog-e6mojxr7yd.edgeone.app/18639-philadelphia-76ers-injury-report-will-joel-embiid-play-against-knicks-tonight-deets-inside.html
The Cisco Umbrella rank of the primary domain is #455,732 of the top 1 million websites
AI Security Verdict
Low Risk
Confidence: 85%
Low risk site; appears to be a legitimate news article with no phishing or malware indicators.
Risk Factors
Safety Factors
Details
Page Title
Philadelphia 76ers Injury Report: Will Joel Embiid Play Against Knicks Tonight? Deets Inside
Scan Type
public
Language
English
Category
corporate
(70%)Domain Information
The domain 'beanbouncerblog-e6mojxr7yd.edgeone.app' uses the application-focused generic top-level domain (.app); it also runs on subdomain 'beanbouncerblog-e6mojxr7yd'. The registrable portion 'edgeone' spans 7 characters split between 4 vowels and three consonants. Breaking it apart gives two words: edge, one. Median word length comes out to 3.5 characters. No strong language cues emerged from the frequency lists.
Screenshot
Page Load Overview
Language Analysis
Primary Language
Detection Details
Website Classification
Primary Category
All Detected Categories
Detected Features
Domain & IP Information
| Requests | IP Address | Location | AS Autonomous System |
|---|---|---|---|
| 6 | 172.240.253.132 | United States | AS7979Servers.com, Inc. |
| 1 | 142.251.110.95 | United States | AS15169Google LLC |
| 1 | 104.18.10.207 | United States | AS13335Cloudflare, Inc. |
| 1 | 104.20.23.96 | United States | AS13335Cloudflare, Inc. |
| 1 | 101.33.10.10 | Frankfurt am Main, Hesse, Germany | AS139341ACE |
| 1 | 192.178.183.94 | United States | AS15169Google LLC |
| 1 | 172.67.150.240 | United States | AS13335Cloudflare, Inc. |
| 1 | 104.20.7.223 | United States | AS13335Cloudflare, Inc. |
| 13 | 8 | - | - |
Detected Technologies4
Content Similarity HashesFor malware variant detection
TLSH (Trend Micro Locality Sensitive Hash)
Security-focusedSpecialized for malware detection and similarity analysis
ssdeep (Context Triggered Piecewise Hashing)
Context-awareDetects similar content even with modifications
sdhash (Similarity Digest Hashing)
High-precisionHigh-precision similarity detection for forensic analysis
These hashes enable detection of similar websites and malware variants by comparing content similarity even when exact matches aren't found.
Image Hashes
Perceptual Hashes
Other Hashes
Scan History
Scan history not available
Unable to load historical scan data